@Book{1950519996,
author="Spath, Nicolas Luca",
title="radiogenomic approach in lung adenocarcinoma to unravel molecular mechanisms underlying CT imaging phenotypes",
year="2024",
address="Rostock",
abstract="The herein-developed bioinformatics workflow aims to improve the interpretability of results from a multi-omics integration. Extraction of 86 image features from the CT image series describing tumor characteristics is followed by differential expression/methylation analysis. Regulation of signaling and cellular response to organic substance were reflected in CT image phenotypes. Hypomethylation showed a distinct shift in tumor texture. The described approach is generalizable to other cancer entities or non-malignant diseases to broaden the interpretability of future radiogenomics studies.<eng>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Nicolas Luca Spath",
note="GutachterInnen: Georg Fuellen (Institute for Biostatistics and Informatics in Medicine and Ageing Research, University Rostock) ; Marc-Andr{\'e} Weber (Institute for Diagnostic and Interventional Radiology, University Rostock) ; Jan H{\"o}vener (Molecular Imaging North Competence Center, University Kiel)",
note="Dissertation Universit{\"a}t Rostock 2024",
doi="10.18453/rosdok_id00005084",
url="https://purl.uni-rostock.de/rosdok/id00005084",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005084-9",
url="https://d-nb.info/1388827182/34",
url="https://doi.org/10.18453/rosdok_id00005084",
language="English"
}